Browsing Faculty of Engineering and Science by Subject "low-key image"
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A novel active contour model for unsupervised low-key image segmentation
(Journal article; Peer reviewed, 2013)Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray ...